Abstract:We present a complete biosensing system that comprises a Thin Film Transistor (TFT)-based nanoribbon biosensor and a low noise, high-performance bioinstrumentation platform, capable of detecting sub-30 mpH unit changes, validated by an enzymatic biochemical reaction. The nanoribbon biosensor was fabricated top-down with an ultra-thin (15 nm) polysilicon semiconducting channel that offers excellent sensitivity to surface potential changes. The sensor is coupled to an integrated circuit (IC), which combines dual… Show more
“…Thin-film transistor (TFT) technology has found numerous applications including large area and flexible displays [ 1 , 2 ], sensitive skin [ 3 ], biomedical and chemical sensors [ 4 ], and radio frequency identification (RFID) sensors [ 5 ]. The TFT liquid-crystal display (LCD) attained approximately USD 164 billion market size in 2020 and is expected to grow with a 5.2% rate for 2021–2026 [ 6 ].…”
We present an update of the Rensselaer Polytechnic Institute (RPI) thin-film transistor (TFT) compact model. The updated model implemented in Simulation Program with Integrated Circuit Emphasis (SPICE) accounts for the gate voltage-dependent channel layer thickness, enables the accurate description of the direct current (DC) characteristics, and uses channel segmentation to allow for terahertz (THz) frequency simulations. The model introduces two subthreshold ideality factors to describe the control of the gate voltage on the channel layer and its effect on the drain-to-source current and the channel capacitance. The calculated field distribution in the channel is used to evaluate the channel segment parameters including the segment impedance, kinetic inductance, and gate-to-segment capacitances. Our approach reproduces the conventional RPI TFT model at low frequencies, fits the measured current–voltage characteristics with sufficient accuracy, and extends the RPI TFT model applications into the THz frequency range. Our calculations show that a single TFT or complementary TFTs could efficiently detect the sub-terahertz and terahertz radiation.
“…Thin-film transistor (TFT) technology has found numerous applications including large area and flexible displays [ 1 , 2 ], sensitive skin [ 3 ], biomedical and chemical sensors [ 4 ], and radio frequency identification (RFID) sensors [ 5 ]. The TFT liquid-crystal display (LCD) attained approximately USD 164 billion market size in 2020 and is expected to grow with a 5.2% rate for 2021–2026 [ 6 ].…”
We present an update of the Rensselaer Polytechnic Institute (RPI) thin-film transistor (TFT) compact model. The updated model implemented in Simulation Program with Integrated Circuit Emphasis (SPICE) accounts for the gate voltage-dependent channel layer thickness, enables the accurate description of the direct current (DC) characteristics, and uses channel segmentation to allow for terahertz (THz) frequency simulations. The model introduces two subthreshold ideality factors to describe the control of the gate voltage on the channel layer and its effect on the drain-to-source current and the channel capacitance. The calculated field distribution in the channel is used to evaluate the channel segment parameters including the segment impedance, kinetic inductance, and gate-to-segment capacitances. Our approach reproduces the conventional RPI TFT model at low frequencies, fits the measured current–voltage characteristics with sufficient accuracy, and extends the RPI TFT model applications into the THz frequency range. Our calculations show that a single TFT or complementary TFTs could efficiently detect the sub-terahertz and terahertz radiation.
“…Most metabolic and immunological effects are followed from the interactions between biomolecules like antibodies, DNA, RNA, proteins, or whole cells [ 1 ]. The information on the binding of a ligand to its receptor can provide instructions in the drug discovery process, and the accurate detection of disease biomarker has been widely applied for disease diagnosis and state monitoring [ 2 , 3 ]. In the past few decades, various sensor-based platforms have been employed to determine the specificity, kinetics, and affinity of a wide variety of biomolecular interactions and the concentration of analyte [ 4 , 5 , 6 , 7 ], while the search for new method is of constant interest and challenge in this scientific field in order to develop more robust, rapid, sensitive, and cost-effective biosensing platforms.…”
In this work, a biosensing method based on in situ, fast, and sensitive measurements of ellipsometric parameters (Ψ, ∆) is proposed. Bare silicon wafer substrate is functionalized and used to bind biomolecules in the solution. Coupled with a 45° dual-drive symmetric photoelastic modulator-based ellipsometry, the parameters Ψ and ∆ of biolayer arising due to biomolecular interactions are determined directly, and the refractive index (RI) of the solution and the effective thickness and surface mass density of the biolayer for various interaction time can be further monitored simultaneously. To illustrate the performance of the biosensing method, immunosensing for immunoglobulin G (IgG) was taken as a case study. The experiment results show that the biosensor response of the limit of detection for IgG is 15 ng/mL, and the data collection time is in milliseconds. Moreover, the method demonstrates a good specificity. Such technique is a promising candidate in developing a novel sensor which can realize fast and sensitive, label-free, easy operation, and cost-effective biosensing.
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